DESCRIPTION

Package: tpSVG
Title: Thin plate models to detect spatially variable genes 
Version: 0.99.7
Authors@R: c(
    person("Boyi", "Guo",
           email = "boyi.guo.work@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-2950-2349")),
    person("Lukas M.", "Weber", 
           email = "lukas.weber.edu@gmail.com", 
           role = c("ctb"), 
           comment = c(ORCID = "0000-0002-3282-1730")), 
    person("Stephanie C.", "Hicks", 
           email = "shicks19@jhu.edu", 
           role = c("aut"), 
           comment = c(ORCID = "0000-0002-7858-0231")))
Description: The goal of `tpSVG` is to detect and visualize spatial variation in
  the gene expression for spatially resolved transcriptomics data analysis.
  Specifically, `tpSVG` introduces a family of count-based models, with 
  generalizable parametric assumptions such as Poisson distribution or 
  negative binomial distribution. In addition, comparing to currently 
  available count-based model for spatially resolved data analysis, the 
  `tpSVG` models improves computational time, and hence greatly improves 
  the applicability of count-based models in SRT data analysis. 
License: MIT + file LICENSE
URL: https://github.com/boyiguo1/tpSVG
BugReports: https://github.com/boyiguo1/tpSVG/issues
biocViews: 
    Spatial, 
    Transcriptomics, 
    GeneExpression, 
    Software,
    StatisticalMethod,
    DimensionReduction,
    Regression,
    Preprocessing
Encoding: UTF-8
Depends: 
    mgcv,
    R (>= 4.4)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports: 
    stats,
    BiocParallel,
    MatrixGenerics,
    methods,
    SingleCellExperiment,
    SummarizedExperiment,
    SpatialExperiment
Suggests: 
    BiocStyle,
    knitr,
    nnSVG,
    rmarkdown,
    scran,
    scuttle,
    STexampleData,
    escheR,
    ggpubr,
    colorspace,
    BumpyMatrix,
    sessioninfo,
    testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3